feat: option lab

backend/routers/portfolio.py

@@ -1,4 +1,4 @@
-from fastapi import APIRouter, HTTPException
+from fastapi import APIRouter, HTTPException, Query
 import traceback as tb_mod
 from pydantic import BaseModel
 from typing import Optional, List, Dict, Any
@@ -179,6 +179,21 @@ def position_payoff(pos_id: str):
     return compute_payoff(pos)
 
 
+@router.get("/positions/{pos_id}/retrospective-optimal")
+def position_retrospective_optimal(pos_id: str, as_of: str = Query(None)):
+    """"What would have been optimal, in hindsight?" — reprices the position's real legs
+    and runs the Strategy Builder optimizer against the REAL historical Saxo chain and the
+    REALIZED spot/IV move since entry (not a guessed scenario) — see
+    services.strategy_comparison.compute_retrospective_comparison. Expensive (runs the full
+    template-search optimizer), so this is on-demand from the Portfolio position detail, not
+    auto-computed for every open position."""
+    from services.strategy_comparison import compute_retrospective_comparison
+    pos = next((p for p in get_positions("open") + get_positions("closed") if p["id"] == pos_id), None)
+    if not pos:
+        raise HTTPException(status_code=404, detail=f"Position '{pos_id}' introuvable")
+    return compute_retrospective_comparison(pos, as_of=as_of)
+
+
 @router.get("/scenario-exposure")
 def scenario_exposure():
     """Reprices every open position under a handful of named macro scenarios (Risk-Off,